Light Transport Simulation with Vertex Connection and Merging

Our novel formulation of the photon mapping method in the path integral light transport framework allows us to build a new consistent rendering algorithm that is more robust than both bidirectional path tracing and photon mapping, allowing us to efficiently render scenes with diffuse and specular lighting.

Practical Hessian-Based Error Control for Irradiance Caching

We introduce a new error metric for irradiance caching based on a new derivation of occlusion-aware irradiance Hessian that significantly outperforms previous approaches such as the split-sphere and adaptive caching.

SURE-based Optimization for Adaptive Sampling and Reconstruction

We propose a novel adaptive sampling and reconstruction method by introducing SURE for error estimation. The incorporation of SURE enables us to use more effective kernels, select optimal filter and sampling distribution. We demonstrate significant improvement over state-of-the-art methods.

Tzu-Mao Li, National Taiwan University
Yu-Ting Wu, National Taiwan University
Yung-Yu Chuang, National Taiwan University

Adaptive Rendering with Non-Local Means Filtering

We propose a novel image space adaptive sampling and filtering framework for Monte Carlo raytracing which can handle arbitrary light transport and lens effects. Our method leverages a state of the art image denoising technique, making it robust to high noise levels and complex image content.

Fabrice Rousselle, University of Bern
Claude Knaus, University of Bern
Matthias Zwicker, University of Bern